Scene Understanding

Scene understanding involves interpreting the visual information of a scene, including objects, their spatial relationships, and the overall layout. It goes beyond simple object recognition by considering the context and how objects relate to each other and the environment.

Papers

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Showing 411–420 of 1723 papers

Title	Date	Tasks	Status	Hype
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving Environments	Sep 22, 2020	Domain AdaptationScene Understanding	CodeCode Available	1
RGB-D Railway Platform Monitoring and Scene Understanding for Enhanced Passenger Safety	Feb 23, 2021	Multi-Object TrackingMultiview Detection	CodeCode Available	1
Explainable Object-induced Action Decision for Autonomous Vehicles	Mar 20, 2020	Autonomous DrivingAutonomous Vehicles	CodeCode Available	1
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning	Feb 26, 2022	3D Point Cloud ClassificationPoint Cloud Segmentation	CodeCode Available	1
Event-based Motion Segmentation with Spatio-Temporal Graph Cuts	Dec 16, 2020	Motion SegmentationScene Understanding	CodeCode Available	1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis	Mar 9, 2021	3d scene graph generationgraph construction	CodeCode Available	1
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding	Nov 29, 2024	3D geometry3DGS	CodeCode Available	1
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving	May 13, 2025	3D visual groundingAutonomous Driving	CodeCode Available	1
SaccadeNet: A Fast and Accurate Object Detector	Mar 26, 2020	Objectobject-detection	CodeCode Available	1
ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data	Nov 17, 2021	3D Object Detectionobject-detection	CodeCode Available	1

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All datasets Semantic Scene Understanding Challenge (passive actuation & ground-truth localisation)ADE20K val Semantic Scene Understanding Challenge (active actuation & ground-truth localisation)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ACRV Baseline	OMQ	0.44	—	Unverified
2	Team VGAI (TCS Research)	OMQ	0.37	—	Unverified
3	Demo_semantic_SLAM	OMQ	0.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CPN(ResNet-101)	Mean IoU	46.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ACRV Baseline	OMQ	0.35	—	Unverified